Eduardo Antonio Ahedo Galilea is a Full Professor in the Department of Aerospace Engineering at Universidad Carlos III de Madrid (UC3M), leading the Plasmas and Space Propulsion Team (EP2). His research focuses on plasma propulsion systems, particularly Hall thrusters, magnetic nozzles, and helicon plasma thrusters, with expertise in plasma dynamics, wave-plasma interaction, and spacecraft-plume effects. Current projects: MLPLUS-CM (2025-2028), PROPULSION ELECTROMAGNETICA POR EFECTO HALL (2023-2026) International collaborations: European Commission, Airbus Defense and Space, SENER His recent publications analyze non-stationary plasma expansions, electron cooling mechanisms, and magnetic nozzle physics across multiple thruster designs. He supervises theses on turbulent transport, wave-plasma interaction, and fluid-kinetic thruster modeling. Grants include funding from the European Commission Research Executive Agency, Agencia Estatal de Investigación (AEI), and regional programs like RIS3-CAM.
Dr. Thushari Atapattu is a Grant-Funded Researcher (A) and Post-doctoral Research Fellow in the School of Computer and Mathematical Sciences at the University of Adelaide . She leads the Learning Technology for Social Good (LT4SG) research group and contributes to the Computer Science Education Research Group . Her research focuses on text mining , natural language processing (NLP) , and discourse analysis , with applications in educational technology and social good initiatives. Her work addresses challenges such as combating cyberbullying via linguistic fingerprints, modeling mental health through social media data, and analyzing discourse patterns in Massive Open Online Courses (MOOCs). Key projects include: Developing computational models to improve communication processes in education and healthcare. Exploring teachers' academic discourse impact on MOOC video engagement. Creating emotion-annotated mental health corpora and frameworks for detecting learner confusion in online platforms. Dr. Atapattu is eligible to supervise Masters and PhD candidates, focusing on interdisciplinary topics at the intersection of NLP, education, and social impact. Her research group, LT4SG, emphasizes leveraging technology for community-driven solutions.
Tovohery Hajatiana Randrianarisoa is a Researcher at the Department of Mathematics and Mathematical Statistics , Umeå University in Sweden. His research focuses on Coding Theory , Cryptography , Arithmetic/Algebraic Geometry , and related fields such as Combinatorics, Finite Geometry, and Algebraic Topology. He has contributed to projects like the Matrix Equivalence Digital Signature Scheme and SD-in-the-Head Signature Scheme , both submitted to the NIST PQC Standardization Process. His work bridges theoretical mathematics and applied cryptography, with a strong emphasis on Rank Metric Codes , q-Matroids , and Shellable Complexes . Collaborations include co-authors such as Sudhir R. Ghorpade, Joachim Rosenthal, and Rakhi Pratihar. His publications span topics like decoding algorithms, code constructions, and topological combinatorics. Key research themes include the interplay between algebraic structures and coding theory, geometric approaches to error-correcting codes, and applications in post-quantum cryptography. He maintains active participation in international research networks and contributes to open-source initiatives like arXiv and ORCID.
Meghan Garrity is an Assistant Professor of International Security & Law at the Schar School of Policy and Government at George Mason University. She holds a PhD in Political Science from the University of Pennsylvania (2022) and was previously a Postdoctoral Fellow at the Belfer Center for Science and International Affairs at the Harvard Kennedy School and a Peace Fellow at the U.S. Institute of Peace. Education: PhD in Political Science, University of Pennsylvania, 2022 Her research lies at the intersection of international security, political violence, and forced migration, with a focus on government-led ethnic violence and mass expulsion. She employs cross-regional comparative methods, with deep expertise in sub-Saharan Africa and the Middle East. Her work bridges academic scholarship with policy relevance, aiming to inform both theoretical debates and humanitarian practice. Her recent publications span journals such as Journal of Peace Research , Security Studies , Political Science Quarterly , and British Journal of Sociology , as well as public commentary in The Washington Post and The Conversation . Her research trends indicate a strong focus on the politics of forced population removal, state behavior in ethnic conflicts, and conceptual challenges in measuring political violence. She is currently completing a book titled Mass Expulsion: The Politics of Forced Population Removal , under contract with Oxford University Press. Scientific Awards and Fellowships: Postdoctoral Fellow, Belfer Center for Science and International Affairs, Harvard Kennedy School Peace Fellow, U.S. Institute of Peace She has over ten years of experience as a humanitarian and development practitioner, engaging in consultancies with international organizations. This informs her interdisciplinary approach and commitment to policy-relevant research. She advises on conflict dynamics, forced migration, and human rights, and her work has implications for grant-funded research in security, governance, and refugee protection. She is actively involved in bridging academic and practitioner communities. While no specific lab or research team is mentioned, her affiliations with the Schar School, Harvard’s Belfer Center, and USIP suggest strong collaborative networks in international security and conflict studies.
Daniel Strüber is an Associate Professor in Software Engineering at Chalmers University of Technology and the University of Gothenburg, Sweden, and an affiliate of the Department of Software Science at Radboud University Nijmegen, Netherlands. His research focuses on model-driven engineering, AI engineering, and empirical software engineering, addressing challenges in software quality, variability management, and security. He holds a PhD (summa cum laude) from Philipps University Marburg and has held academic positions including Assistant Professor at Chalmers and postdoctoral roles at King's College London and Philipps University Marburg. Education: PhD in Computer Science, Philipps University Marburg (2011–2016) Diplom (M.Sc. equivalent) in Computer Science, Philipps University Marburg (2005–2011) Research Interests: Strüber's work spans model-driven engineering, AI integration in software systems, and empirical studies. Key areas include: Model-based languages and tools for software quality assurance Machine learning-enabled systems and their engineering principles Robotics software engineering and variability management Formal methods for consistency and security Search-based optimization in model-driven development Recent Contributions: Recent work includes studies on LLM-assisted reverse engineering, empirical analysis of manual abstraction in software systems, and model-driven approaches for edge deployment of ML models. His research bridges theory with practical implementations in domains like robotics and web-based systems. Awards: Best Reviewer Award (SoSyM 2025) Distinguished Reviewer Awards (GPCE 2024, SPLC 2023) Transformation Tool Contest Awards (2020, 2016) EASST Best Paper Awards (ICGT 2020, ICGT 2017) Grants & Leadership: Co-editor of a JSS special issue on Product Line Engineering (2024) and program co-chair of SPLC 2024. Active in conferences like ICSE, ICGT, and MODELS. Leads grants such as the VR SEMLA project (2022–2024) and the DFG EUphORia fellowship (2019). Teaching: Courses include 'Software Engineering for AI Systems' at Chalmers and 'Software Product Lines' at Radboud University. Involves students in real-world projects via GiPHouse, a student-run company.
Savannah L. Kelly is Associate Head and Associate Professor in the Scholar Support and Data Services (SSDS) Department at the University Libraries of the University of Mississippi. She plays a key role in advancing data and statistical literacy among students, faculty, and librarians through research, instruction, and collaboration. Her educational background includes a PhD in Higher Education with an Interdisciplinary Minor in Applied Statistics, a Master of Library and Information Science, and a Bachelor of Science in Psychology with a minor in Philosophy. Dr. Kelly's research focuses on promoting data science and statistical competencies in higher education, interdisciplinary research collaborations, and understanding students’ perceptions of STEM majors and careers. She is passionate about improving quantitative research skills and supporting learners through innovative pedagogical approaches. Her recent publications and presentations highlight a strong trend in statistical education, research data services, information literacy, and academic librarianship. She emphasizes accessible data science training, the use of tools like R and Zotero, and the importance of aligning library services with student needs. IRDL Scholar (2016) IRDL Mentor (2018–2020) ACRL Immersion Program (Teacher Track, 2010; Assessment Track, 2012) Excellence in Assessment Award, Westmont College (2012) People’s Choice Award, EBLIP 2017 Dr. Kelly actively mentors students and collaborates across disciplines. She has led workshops and developed programming such as an R workshop series for graduate students. Her work is supported by professional development grants and institutional programs like IRDL. She is a Certified Instructor for The Carpentries, reflecting her commitment to open, reproducible research practices. She contributes to library-led research through projects on student research challenges, faculty-librarian collaboration, and service loads in academic librarianship. Her work helps shape library instruction, research support services, and data science initiatives at the institutional and national levels.
Gerard de Melo is a Professor and Chair of Artificial Intelligence and Intelligent Systems at the Hasso Plattner Institute (University of Potsdam, Germany). He also serves as a member of the Cognitive Sciences Research Focus and ELLIS Unit Potsdam . Research Interests: AI and Machine Learning Natural Language Processing Cross-modal AI (vision-language models, knowledge graphs) Societal and philosophical aspects of AI Medical Informatics Recommendation Systems Graph Neural Networks Recent Article Trends: His work spans generative AI (Vector Grimoire), medical LLM evaluation (CliMedBench), distributed training (Efficient Parallelization), and social media analysis (WallStreetBets) with a focus on multimodal systems and ethical AI . Scientific Recognition: Rutgers CSGSS Best Professor Award (Teaching, Advising) Best Paper Awards: NeurIPS Workshop, CIKM, EACL LANTERN IEEE TCSE Distinguished Paper Award First Runner-Up ACM WebSci Advising & Grants: Mentored students like Rohan Sawahn (Better World Award) and Maximilian Schall (IEEE TCSE Award). Secured major funding including German BMBF Grant for AI Service Center Berlin-Brandenburg and DARPA SocialSim Program support.
Ivo Furno is an Adjunct Professor at the École Polytechnique Fédérale de Lausanne (EPFL) within the School of Basic Sciences ( SB ) and affiliated with the Swiss Plasma Center ( SPC ). He holds a joint appointment with the SPH-ENS unit and previously contributed to EDPY-ENS teaching initiatives. His research spans fundamental plasma physics, tokamak experiments (TCV program), and applied plasma technologies including plasma agriculture. Key Collaborations: AWAKE Run 2, DEMO Neutral Beam Injectors, SPIDER, RAID linear device Teaching: General Physics (Thermodynamics), Plasma Diagnostics in Tokamaks Research focuses on plasma turbulence , negative ion sources , self-modulation of relativistic proton bunches , and plasma-seed treatments . His work includes experimental validation of edge turbulence codes , microwave interferometer design , and helicon plasma characterization for fusion applications. Publications highlight 3D plasma dynamics , Langmuir probe analysis , and ion transport phenomena . He has supervised numerous PhD students, including those working on fast ion transport , negative hydrogen ion dynamics , and millimeter-wave diagnostics . Scientific Awards: No explicit awards listed in the data. Students & Collaborations: Mentored PhD candidates such as Riccardo Agnello (helicon plasmas), Rita Agus (plasma diagnostics), and Fabio Avino (dielectric barrier discharges). Past advisees include researchers in plasma agriculture (e.g., Alexandra Waskow) and tokamak experiments (e.g., Federico Nespoli).
Dr. Conrad Sanderson is a Researcher and Team Leader at the Data61 division of CSIRO , focusing on artificial intelligence, machine learning, AI ethics, and high-performance numerical computing. He is also an Adjunct Professor at Griffith University . With over 150 publications and 11,000+ citations, he is renowned for developing influential open-source libraries like Armadillo and RcppArmadillo . Research Interests Artificial Intelligence & Deep Learning Responsible AI, Safe AI, and Ethical Trade-offs Numerical Linear Algebra and High-Performance Computing Recent Publications highlight advancements in: Dynamic graph anomaly detection via extreme value theory Fire propagation uncertainty estimation using neural emulators Resolving ethical tensions in AI implementation GPU-accelerated machine learning Scientific Awards Most cited paper award for thesis-based article Armadillo framework: 30+ million downloads Collaborations include researchers from Facebook, NASA, Boeing, and institutions like MIT and Stanford. His work bridges academia and industry through open-source contributions and interdisciplinary applications.
Anders Møller is a Professor and Vice Head of Department at the Department of Computer Science, Aarhus University, Denmark. He is a leading researcher in programming languages and software engineering, with a primary focus on static and dynamic program analysis. He serves as Chairman of the PhD Committee and holds leadership roles in the international research community, including Vice-Chair of ACM SIGPLAN and Associate Editor for ACM TOPLAS and ACM TOSEM. His research interests include programming languages, software engineering, static and dynamic analysis, program verification, and security. His work bridges theoretical foundations and practical applications, particularly in improving software reliability and security through advanced analysis techniques. The trends in his recent publications reflect a strong emphasis on static analysis for security, scalability, and real-world impact—especially in web applications, smart contracts, and open-source software supply chains. His research has evolved toward practical deployment, demonstrated by the founding and acquisition of Coana by Socket in 2025 for enhanced vulnerability detection. Recipient of the Danish Elite Research Prize 2020 ACM Distinguished Member He actively mentors students and contributes to the academic community through conference leadership (e.g., OOPSLA, PLDI, ICSE). He also co-authored the widely used textbook Static Program Analysis with Michael I. Schwartzbach. His work is deeply integrated into both academic and industrial advancements in software analysis and security.
Rémy Lequesne serves as Professor and Associate Dean for Faculty and Staff Affairs in the Civil, Environmental and Architectural Engineering (CEAE) department at the University of Kansas. With over a decade of experience since joining the faculty in 2013, he leads research in structural engineering with a focus on reinforced concrete systems and earthquake-resistant design. Dr. Lequesne earned his educational credentials from the University of Michigan, completing his B.S. in Civil Engineering in 2005, M.S. in Civil Engineering in 2007, and Ph.D. in Structural Engineering in 2011. His academic journey has positioned him as a leading researcher in concrete mechanics and seismic design. His research program at the LeQuenne Lab investigates reinforced concrete mechanics through experiments, numerical models, and field data to improve structural design. His work specifically targets earthquake-resistant design, identification and mitigation of structural vulnerabilities, and the use of advanced materials including fiber reinforced concrete and high-strength steel. Recent research has expanded into emergent technologies such as 3D printing applications in construction and AI-based damage detection methods. Analysis of his recent publications reveals a strong focus on high-strength materials in concrete structures, with particular attention to coupling beams, walls, and seismic performance. His work bridges theoretical mechanics with practical applications, often involving large-scale testing and direct contributions to building codes through the American Concrete Institute. Extensive research on high-strength steel reinforcement applications Studies on structural performance after disasters including the 2019 EF4 Linwood, Kansas tornado Investigations into earthquake-resistant wall systems Development of improved design methodologies for concrete structures Dr. Lequesne actively mentors graduate students, with several appearing as co-authors on his publications. His research is supported by various funding sources including the University of Kansas Center for Research, Electrical Power Research Institute, and the Engineer Research and Development Center Geotechnical and Structures Laboratory. The LeQuenne Lab serves as the hub for his research activities, focusing on experimental testing of reinforced concrete systems. The lab's work has direct applications to improving building safety in seismic and tornado-prone regions, with recent studies examining performance after the 2019 EF4 Linwood, Kansas tornado and the 2023 South-East Turkey earthquake sequence.
Dr. Mary Jane Dalton serves as a Senior Lecturer at the School of Medicine and Public Health, University of Newcastle, Australia, where she has been instrumental in medical education since 2002. She played a primary role in developing Phase One of the MD program, focusing on integrating basic science, clinical medicine, and public health to cultivate compassionate medical professionals. Her institutional affiliation spans the College of Health, Medicine and Wellbeing, with direct responsibilities in curriculum design and Problem-Based Learning implementation. Her academic credentials include a Doctor of Medicine from Vanderbilt University and a Bachelor of Science in Genetics from the University of Georgia. This foundation in genetics and clinical medicine underpins her interdisciplinary approach to medical education. Doctor of Medicine, Vanderbilt University Bachelor of Science in Genetics, University of Georgia Dr. Dalton's research centers on medical education innovation, particularly Problem-Based Learning dynamics and curriculum integration. She investigates how to effectively merge basic sciences with clinical practice and public health principles to develop holistic medical training. Her work emphasizes creating environments that nurture both clinical competence and humanistic qualities in future physicians, with significant focus on preventive and primary health care frameworks as reflected in her Fields of Research codes (60% Preventive Health Care, 40% Primary Health Care). Analysis of her publication history reveals two distinct research phases: an early epidemiology period (1994-1996) focused on infectious disease outbreaks (cat-scratch disease, Rocky Mountain spotted fever, hantavirus), and her current medical education focus (2014-2024) examining assessment methods, Problem-Based Learning, and early-career researcher challenges. This evolution demonstrates her transition from clinical epidemiology to educational leadership while maintaining public health perspectives. Through her role in the MD program development, Dr. Dalton has shaped curriculum structures and teaching methodologies across multiple cohorts. Her contributions to Problem-Based Learning implementation and assessment design represent significant educational scholarship, though specific grant funding details are not documented in available sources. She maintains active engagement with medical student development through tutorial leadership and curriculum oversight.
Tracy L. Kijewski-Correa is the William J. Pulte Director of the Pulte Institute for Global Development and Academic Director of the Integration Lab (i-Lab) at the University of Notre Dame's Keough School of Global Affairs. She holds a joint appointment as Professor of Civil Engineering and Global Affairs in the Department of Civil and Environmental Engineering & Earth Sciences. Her research focuses on civil infrastructure challenges in both developed and developing contexts, with particular emphasis on natural hazard assessment and mitigation. A co-founder of Engineering2Empower (E2E), she has developed comprehensive strategies for sustainable housing in Haiti, integrating community-led innovation and market-based solutions. Her work spans multiple regions including Haiti, United States, Latin America, Middle East, South Asia, and South Pacific/Oceania. Kijewski-Correa's recent publications demonstrate a clear trend toward leveraging open data and computational approaches for high-fidelity regional loss estimations, particularly for hurricane risk assessment. Her work increasingly integrates computer vision, Bayesian data integration, and component-level fragility modeling to advance the precision of disaster impact predictions while maintaining computational tractability across large building portfolios. Kellogg Institute Faculty Fellow (since 2011) Her research has been supported by multiple grants including projects focused on climate adaptation in Bangladesh and Haiti, community-driven development in Haiti, post-disaster sheltering programs, and technology incubators for sustainable development. As director of the Pulte Institute and Academic Director of the i-Lab, she leads interdisciplinary teams working at the intersection of engineering, global development, and disaster resilience.
Prof. Dr. Michael Guckert is a Professor of Business Informatics - Artificial Intelligence at the Department of MND (Management, Natural Sciences, Design) at Technische Hochschule Mittelhessen (THM). He serves as Spokesperson of the KITE Competence Center, Board member at hessian.AI, and Director at StudiumPlus. His research spans multiple domains with a strong focus on AI applications in medical contexts and multi-agent systems. Dr. Guckert's research interests center on applying artificial intelligence to solve complex problems across multiple domains. His primary focus is on medical applications, particularly using AI for electrocardiogram (ECG) analysis, cardiac pathology detection, and clinical decision support systems. He also maintains significant research in multi-agent systems for traffic simulation, model-driven development approaches, and trustworthy/explainable AI systems. His work bridges theoretical AI development with practical applications in healthcare, manufacturing, and transportation. Analysis of Dr. Guckert's recent publications reveals a clear trend toward medical AI applications, particularly in cardiology. His work on the RisKa project demonstrates how AI can interpret ECG data to detect heart conditions, with significant emphasis on explainability and trustworthiness. Parallel to this medical focus, he maintains active research in multi-agent traffic simulation systems (AGADE), acoustic emission analysis, and model-driven development approaches. The publications show increasing collaboration with medical researchers, indicating a strategic focus on interdisciplinary AI applications in healthcare. Dr. Guckert leads the RisKa project (2022-2024), a €736,682 initiative funded by the Ministry for Digital Strategy and Development, which develops an AI-based clinical decision support system for ECG analysis. His research group at THM KITE Competence Center collaborates with Justus Liebig University in Giessen on biomarker research. He has secured multiple research grants for projects involving AI in medical diagnostics, traffic simulation, and manufacturing quality control. His work demonstrates strong industry-academia collaboration, particularly in applying AI to solve real-world problems in healthcare and transportation. Dr. Guckert directs the KITE Competence Center at THM, which focuses on information technology research and applications. His team includes researchers specializing in medical AI, multi-agent systems, and model-driven development. The RisKa project team specifically brings together computer scientists and cardiologists to develop clinically useful AI tools. His work with hessian.AI positions him at the forefront of AI development in the Hesse region of Germany, facilitating collaboration between academic and industry partners.
Prof. Dr. Carsten Lucke is a faculty member at the Technische Hochschule Mittelhessen within the Department of Mathematics, Natural Sciences and Data Processing (MND), specifically affiliated with the Department of Business Informatics . He serves as Head of the M.Sc. Business Informatics program, Chair of the Master's program committee, and Chair of the admissions committee. His primary research focuses on software engineering , enterprise architecture (with emphasis on TOGAF, NAF, ADMBw), and IT security . Research Interests: Software Architecture, Architectural Modeling, Knowledge Management in Software Projects, Enterprise Architecture Frameworks Expertise: Stakeholder-Oriented Enterprise Modeling, ERP System Integration, PHP-based Software Development His publications reflect systematic approaches to integrating security management with enterprise architecture and addressing architectural complexity in large-scale systems. While no scientific awards are documented in the provided texts, his contributions span multiple empirical studies, conceptual frameworks, and practical implementations in software engineering.
